Performance Evaluation of an IoT-Based E-Learning Testbed Using Mean-Shift Clustering Approach Considering Gamma Type of Brain Waves.
Masafumi YamadaMiralda CukaYi LiuKevin BylykbashiKeita MatsuoLeonard BarolliPublished in: BWCCA (2017)
Keyphrases
- mean shift
- mode seeking
- e learning
- object tracking
- visual tracking
- graph cuts
- sift features
- clustering algorithm
- density function
- color image segmentation
- partial occlusion
- clustering method
- bilateral filtering
- kernel density
- target tracking
- particle filter
- kernel density estimation
- human brain
- feature space
- normalized cut
- soft clustering
- sampling procedure
- image segmentation algorithm
- k means
- kullback leibler divergence
- segmented images
- color histogram
- region merging
- data points
- visual object tracking
- information theoretic
- image sequences
- kernel density estimate
- riemannian manifolds
- state space
- data clustering
- document clustering